Artificial Intelligence applied to Biophysics: Challenges and perspectives

Applications based on Artificial Intelligence (AI) methods have become present in
almost all areas of knowledge, advancing as impactful tools for technological and
scientific development. This advance is even more relevant at the intersection with the
areas covered by biophysics, especially in the context of health, including discussions
about the projection of new diseases, surveillance and mitigation measures for public
health, and, of course, in the biopharmaceuticals developing process. Despite
advances in the Artificial Intelligence context, the complexity of biological models and
factors inherent to their application, such as the lack of large volumes of qualified data
for training computational models, still present important challenges in expanding and
improving the use of methods belonging to Artificial Intelligence. Here, the proposal is
to present challenges, advances and perspectives of applications, including the
conceptual (and ethical) concerns to be considered for each application until the
discussion of the most recent predictive methods.